Data-driven traffic coordination schemes:

Las Vegas Case Study

Within the smart transportation marketplace, traffic modelling and artificial intelligence are playing a growing role as a means to monitor and manage roadside traffic infrastructure. Specifically, connected-vehicles are an amazing source of traffic data which can be used to generate necessary transportation insights.

​Geotab’s intersection insights aggregate data across millions of connected-vehicles and additional third-party data sets to characterize traffic flow and corridor performance across signalized intersections and to help understand:

  • Average dwell or stop times per intersection per time of day per turning movement
  • Traffic queue lengths per intersection per time of day per turning movement
  • Number of signal cycles per queue (how many green lights to clear a queue)
  • Corridor travel time
  • Corridor stop propensity

These insights equip traffic engineers with the necessary intelligence to more efficiently move residents and commercial goods, implement and effectively manage traffic calming and road improvement projects, and proactively deploy first responders to critical areas in an effort to reduce on-site arrival times.



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